An Improved Reconstruction Algorithm for Compressed Sensing-Based OMP

WANG Jun; KONG Ling-bin; ZHAO Jie

doi:10.13756/j.gtxyj.2016.01.022

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An Improved Reconstruction Algorithm for Compressed Sensing-Based OMP

- An Improved Reconstruction Algorithm for Compressed Sensing-Based OMP
- Study on Optical communication Issue 1, Pages: 74-78(2016)
- 作者机构：
  
  1. 西安邮电大学通信与信息工程学院
  2. 西安邮电大学电子工程学院
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2016.01.022
  CLC： TN911.7
- Published：2016，
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[1]王军,孔令斌,赵洁.基于压缩感知的OMP改进重构算法[J].光通信研究,2016(01):74-78.

WANG Jun, KONG Ling-bin, ZHAO Jie. An Improved Reconstruction Algorithm for Compressed Sensing-Based OMP. [J]. (1):74-78(2016)
[1]王军,孔令斌,赵洁.基于压缩感知的OMP改进重构算法[J].光通信研究,2016(01):74-78. DOI： 10.13756/j.gtxyj.2016.01.022.

WANG Jun, KONG Ling-bin, ZHAO Jie. An Improved Reconstruction Algorithm for Compressed Sensing-Based OMP. [J]. (1):74-78(2016) DOI： 10.13756/j.gtxyj.2016.01.022.

摘要

针对无线通信网络近些年出现的大数据量信号的情况

在对信号采样的同时进行适当压缩

利用合适的重构算法实现了用少量的采样值或观测值对信号进行重构。在原有基于OMP（正交匹配追踪）的压缩感知重构算法的基础上引入AS（交替步长）

提出一种新的改进算法——GP-OMP（梯度正交匹配追踪）算法。实验结果表明

该改进算法利用前一感知时刻获得的频谱信息

不仅能有效地降低重构算法的计算量

还能有效地减少重构耗时

并得到与原有方法基本一致的重构效果。

Abstract

In view of the emergence of mega data signals in wireless communication networks in recent years

this paper properly compresses these signals while performing signal sampling and realizes their reconstruction with small amount sampling value or observed value by using an appropriate reconstruction algorithm.On the basis of the original Orthogonal Matching Pursuit（OMP）-based compressed sensing reconstruction algorithm

the Alternating Step-size（AS）is introduced and an improved algorithm

i.e.GP-OMP algorithm proposed.Experimental results show that the spectrum information this algorithm obtained by using the previous sensing moment can not only effectively reduce the amount of computations by the reconstruction algorithm

but also the reconstruction time

with almostthe same results as those by using the original method.

关键词

重构算法压缩感知交替步长频谱感知

Keywords

reconstruction algorithmcompressed sensingalternately stepspectrum sensing

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